AI Glossary Term

What does “Knowledge Graph” mean?

Definition

A graph structure of entities and relationships used for reasoning or retrieval.

How Knowledge Graph works

Diagram for Knowledge Graph: Marie Curie, Paris, Nobel Prize feed into Graph of linked facts: won, lived in, which produces Answerable questions, Connected search results.Marie CurieParisNobel PrizeGraph of linked facts: won, livedinAnswerable questionsConnected searchresults

Example

A knowledge graph can store that Marie Curie won the Nobel Prize in Physics and lived in Paris as linked entries. A search engine can use those links to answer a question about her directly and show related people and places.

Why it matters

Knowledge graphs store facts in a structured, checkable way. They can ground AI answers and make relationships easy to query.

Common questions

What are nodes and edges?

Nodes are entities, such as people or places. Edges are relationships between them, such as 'born in'.

How is it different from a database table?

Graphs emphasize relationships and make it easy to follow chains of connections across many entity types.

How do LLMs use them?

A system can retrieve facts from the graph and give them to the model so answers rest on stored data.

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